#!/bin/bash

# --------------------------------------------------------------------------------------------------------------
# run-dnn.sh : DNN Models over fMLLR features
# -------------------------------------------------------------------------------------------------------------- 
%WER 18.8 | 400 15057 | 83.4 11.4 5.1 2.3 18.8 99.8 | -0.592 | exp_pdnn/dnn/decode_dev/score_5/ctm_39phn.filt.sys
%WER 20.2 | 192 7215 | 82.9 11.9 5.2 3.1 20.2 100.0 | -0.917 | exp_pdnn/dnn/decode_test/score_4/ctm_39phn.filt.sys
# with dropout applied
%WER 18.0 | 400 15057 | 84.3 11.2 4.5 2.3 18.0 99.3 | -0.706 | exp_pdnn/dnn_dropout/decode_dev/score_5/ctm_39phn.filt.sys
%WER 19.6 | 192 7215 | 83.3 11.9 4.8 3.0 19.6 99.5 | -1.070 | exp_pdnn/dnn_dropout/decode_test/score_4/ctm_39phn.filt.sys

# --------------------------------------------------------------------------------------------------------------
# run-dnn-maxout.sh : Deep Maxout Networks over fMLLR features
# --------------------------------------------------------------------------------------------------------------
%WER 17.5 | 400 15057 | 85.0 10.8 4.2 2.4 17.5 99.8 | -0.859 | exp_pdnn/dnn_maxout/decode_dev/score_5/ctm_39phn.filt.sys
%WER 19.0 | 192 7215 | 83.4 11.9 4.7 2.4 19.0 99.5 | -0.894 | exp_pdnn/dnn_maxout/decode_test/score_5/ctm_39phn.filt.sys
# with dropout applied
%WER 16.7 | 400 15057 | 85.1 10.3 4.5 1.9 16.7 99.3 | -0.515 | exp_pdnn/dnn_maxout+dropout/decode_dev/score_7/ctm_39phn.filt.sys
%WER 18.0 | 192 7215 | 84.5 11.1 4.3 2.5 18.0 99.0 | -1.070 | exp_pdnn/dnn_maxout+dropout/decode_test/score_5/ctm_39phn.filt.sys
# by setting momentum to 0.9, you can improve dnn by ~1.0% and maxout by ~0.5%

# --------------------------------------------------------------------------------------------------------------
# run-bnf-tandem.sh : Tandem Systems with BNFs Trained on fMLLRs
# --------------------------------------------------------------------------------------------------------------
# LDA+MLLT
%WER 16.8 | 400 15057 | 85.5 11.2 3.3 2.4 16.8 99.3 | -1.195 | exp_pdnn/bnf_tandem/tri4/decode_dev/score_11/ctm_39phn.filt.sys
%WER 18.5 | 192 7215 | 84.1 12.1 3.9 2.6 18.5 99.5 | -1.223 | exp_pdnn/bnf_tandem/tri4/decode_test/score_12/ctm_39phn.filt.sys
# MMI
%WER 16.7 | 400 15057 | 85.8 11.0 3.2 2.5 16.7 99.0 | -1.188 | exp_pdnn/bnf_tandem/tri4_mmi_b0.1/decode_dev_it1/score_11/ctm_39phn.filt.sys
%WER 18.4 | 192 7215 | 84.3 12.0 3.7 2.8 18.4 99.5 | -1.191 | exp_pdnn/bnf_tandem/tri4_mmi_b0.1/decode_test_it1/score_12/ctm_39phn.filt.sys
# SGMM
%WER 16.3 | 400 15057 | 85.7 10.8 3.5 2.0 16.3 99.0 | -1.114 | exp_pdnn/bnf_tandem/sgmm5a/decode_dev/score_9/ctm_39phn.filt.sys
%WER 17.8 | 192 7215 | 84.2 11.4 4.4 2.0 17.8 100.0 | -0.978 | exp_pdnn/bnf_tandem/sgmm5a/decode_test/score_12/ctm_39phn.filt.sys
# MMI-SGMM
%WER 16.5 | 400 15057 | 86.0 10.9 3.2 2.5 16.5 98.8 | -1.119 | exp_pdnn/bnf_tandem/sgmm5a_mmi_b0.1/decode_dev_it1/score_10/ctm_39phn.filt.sys
%WER 17.9 | 192 7215 | 85.1 11.6 3.3 3.0 17.9 99.0 | -1.303 | exp_pdnn/bnf_tandem/sgmm5a_mmi_b0.1/decode_test_it1/score_8/ctm_39phn.filt.sys

# --------------------------------------------------------------------------------------------------------------
# run-dnn-fbank.sh : DNN Models over filterbank features
# --------------------------------------------------------------------------------------------------------------
%WER 22.5 | 400 15057 | 80.1 14.3 5.6 2.6 22.5 99.8 | -0.340 | exp_pdnn/dnn_fbank/decode_dev/score_5/ctm_39phn.filt.sys
%WER 24.0 | 192 7215 | 78.7 15.1 6.1 2.8 24.0 100.0 | -0.244 | exp_pdnn/dnn_fbank/decode_test/score_5/ctm_39phn.filt.sys
# if momentum increased to 0.9 for faster convergence
%WER 20.2 | 400 15057 | 82.4 12.9 4.7 2.6 20.2 99.5 | -0.424 | exp_pdnn/dnn_fbank/decode_dev/score_5/ctm_39phn.filt.sys
%WER 21.6 | 192 7215 | 81.2 13.7 5.1 2.8 21.6 100.0 | -0.397 | exp_pdnn/dnn_fbank/decode_test/score_5/ctm_39phn.filt.sys

# --------------------------------------------------------------------------------------------------------------
# run-cnn.sh : CNN Models over filterbank features
# -------------------------------------------------------------------------------------------------------------- 
%WER 19.0 | 400 15057 | 83.2 12.0 4.8 2.2 19.0 99.3 | -0.392 | exp_pdnn/cnn/decode_dev/score_6/ctm_39phn.filt.sys
%WER 19.7 | 192 7215 | 82.6 12.5 4.9 2.3 19.7 99.0 | -0.530 | exp_pdnn/cnn/decode_test/score_5/ctm_39phn.filt.sys
